gist-ailab/mooc

Lecture Notes & Python Codes for MOOC Class

Hands on Deep Learning

Course materials for STAR-MOOC class 'Hands on Deep Learning' and GIST class 'Deep-Learning'.

Link to Hands on Hands on Deep Learning Course: Click Here

Acknowledgement

If you have any questions, feel free to contact:

• TA: Seunghyeok Back, [email protected]
• TA: Sungho Shin, [email protected]

mooc's Issues

HTTP error 503 when downloading MNIST dataset

Line 27 returns HTTP Error 503: Service Unavailable

mooc/hdlc/Lecture_04/lec4-cnn.py

Line 27 in 848330f

train_dataset = torchvision.datasets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True)

Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./data\MNIST\raw\train-images-idx3-ubyte.gz
Traceback (most recent call last):
  File "C:/Users/winjngyun/PycharmProjects/DeepLearning/data/lec4-cnn.py", line 27, in <module>
    train_dataset = torchvision.datasets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\site-packages\torchvision\datasets\mnist.py", line 79, in __init__
    self.download()
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\site-packages\torchvision\datasets\mnist.py", line 146, in download
    download_and_extract_archive(url, download_root=self.raw_folder, filename=filename, md5=md5)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\site-packages\torchvision\datasets\utils.py", line 256, in download_and_extract_archive
    download_url(url, download_root, filename, md5)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\site-packages\torchvision\datasets\utils.py", line 84, in download_url
    raise e
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\site-packages\torchvision\datasets\utils.py", line 70, in download_url
    urllib.request.urlretrieve(
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 247, in urlretrieve
    with contextlib.closing(urlopen(url, data)) as fp:
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 222, in urlopen
    return opener.open(url, data, timeout)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 531, in open
    response = meth(req, response)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 640, in http_response
    response = self.parent.error(
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 569, in error
    return self._call_chain(*args)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 502, in _call_chain
    result = func(*args)
  File "C:\ProgramData\Miniconda3\envs\DeepLearning\lib\urllib\request.py", line 649, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 503: Service Unavailable

Process finished with exit code 1

Environment

OS: Windows 10
Pycharm CE
python: 3.8.8
pytorch: 1.7.1
torchvison: 0.8.2

Temporary solution

Clone this to ./data/
https://github.com/knamdar/data